AretumHiring

Data Solution Engineer

  • Remote, United States
  • Mid-level
  • Posted 7 days ago
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In one line

Build Databricks pipelines for pilot and proof-of-concept work in a federal consulting setting; mostly remote with some travel.

About the role

Pipelines run through bronze, silver and gold layers, with governance and metadata standards applied along the way. Work may involve controlled unclassified information, so compliance rules matter.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Databricks, SQL, Python, Apache Spark, YAML, Unity Catalog
Posted
28 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Build, test and run data pipelines in Databricks with SQL, Python and Apache Spark
  • Maintain pipelines across the bronze, silver and gold medallion layers
  • Apply masking, access controls and reference data lookups, and define configs in YAML

What they look for

  • BS or BA plus 3 to 5 years of data engineering with Databricks, Spark and YAML
  • Experience designing data governance, tagging and metadata standards
  • Strong SQL and Spark, with declarative configs kept under version control

Nice to have

  • Exposure to a cybersecurity environment

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: BS or BA plus 3 to 5 years of data engineering with Databricks, Spark and YAML; experience designing data governance, tagging and metadata standards; strong SQL and Spark, with declarative configs kept under version control. Skills it names include Databricks, SQL, Python, Apache Spark.

How do I apply with Keywordise AI?

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